Teneika Askew

US Navy

The consultant has become the client! I've returned as Product Manager and leader in the Navy's first data focused consulting division, Data and Digital Transformation. I will be bringing my entrepreneurial spirt to build, launch and direct the Data Science as a Service and Analytics Enablement portfolio of products and services.

Stack: Databricks, AWS

Product Director - Data Science & Analytics Enablement 

CompTIA

• As a CAC appointee, I provide advice and guidance to CompTIA regarding the strategic direction of the industry's leading certifications related to data science & machine learning.

• As a SME, I contribute to the development phases of CompTIA’s Data Science+ certification exam. This includes participating in Job Task Analysis (JTA) workshops, helping to identify exam domains & objectives, and assisting with item writing & review.

Data Certification Advisory Committee (CAC)

Clicked

Artificial Intelligence Coach and Marketing Consultant

Correlation One

Empowerment is a 4-5 month, high-intensity, part-time program teaching data skills through real world business cases and live, business provided or fellow researched datasets while solving AI challenges.

Introduced 7+ sponsors/partners . (OneTen, McKinsey, Hulu, Accenture, JFF, etc..) after extensive market research and talent development opportunities such as college credit.

Data Science Instructor, Head Teaching Assistant and Strategic Program Advisor

Receive Top Teaching Assistant recognition across 50 Teaching Assistants!
Provides mentorship and support for 50+ fellows across 7 projects. Rated in top 5% among Teaching Assistant by fellow reviews.
Curates custom curriculum for the Data Science for All Product, tailored specifically for Product Analytics, Tableau and professional development workshops and lectures. Provides instruction to 750+ fellows for Tableau, Algorithmic Bias and Product tracks on Saturday's.

Data Science Instructor, Teaching Assistant and Strategic Program Advisor

Partners with product, curriculum and program leaders to achieve learning objectives of 4+ programs and optimal functionality of tools/technology in the proprietary LMS, such as Grading/Attendance, Insights, Jupyter Notebooks, Workspaces, Forums, and lesson outlines/content.

Serves as a change agent, championing new and innovational customer- and industry-focused data informed products, driving inclusive and equitable data science, AI/ML education strategies across 6+ cohorts,  aligning to industry and partner talent objective and metrics.

Strategic Program Advisor

Samsung Innovation Campus

Artificial Intelligence Coach

Uplimit

Designed and instructed Visualization with Tableau 4-week course.

Analytics Coach (Tableau)

Codecademy

Senior Curriculum Developer (Product and Project Management)

SkillUp

Provided data science expertise and career prep guidance and videos for several IBM Coursera courses.

Data Science SME (IBM Coursera Courses)

Bill & Melinda Gates Foundation

Partnered with ABG to provide strategy and key recommendations for an organization wide analytics enablement, cloud deployment initiative. Delivered tailored workshops to help the organization reach a common data model supporting mission driven insights, KPIs and roadmaps to Bill and Melinda Gates funded non-profits in the South Africa region.
Tools: Microsoft 365, Azure, Power BI, Oracle

Analytics Consultant

Mozilla

Teneika developed the global People Analytics function from ideation, providing delivery of self-service analytics tools, insight-driven solutions and advisory services for Mozilla’s workforce. She specializes in applying storytelling and analytics to aid the SVP, Steering Committee, HRBPs and leadership in data driven decision-making of talent-related questions. Tools: Workday, Greenhouse, Power BI, Tableau, BigQuery, SQL, M Language, DAX, AWS Redshift, Tableau Server, CultureAmp
• Quickly developed relationship as trusted advisor to Executive Leadership team and served as Product Owner for an implementation; identified key risks in ETL processes, resulting in savings within 60 days of hire
• Designed and developed a comprehensive analytics modernization roadmap and interactive dashboards for critical executive-level meetings, allowing visibility into trends, headcount, attrition, culture surveys, vacancy, hires, and market insights
• Partnered with SVPs of Talent Acquisition, People, Diversity & Inclusion and business leaders to drive data-driven decisions and influence program and policy changes for Racial Justice Commitments, within 90 days of hire; 5% increase in Black/Latinx talent
• Managed multiple global projects and stakeholders involving delivery self-service analytics solutions in Tableau / Tableau Server with disparate data sources such as a Talent Acquisition Dashboard and D&I Scorecard
• Created a workforce reduction and planning model leveraging PowerQuery as a strategic tool for reduction in force decisions and talent related concerns that lead to business impact – resulted in 31% reduction in planning hours
• Led future of work effort to reclassify job families into new “Tech/Non-Tech” definition, resulting in 14% change across company
• Fully launched the global People Analytics function, frameworks for identifying business problems, the governance model for data, product and people roadmaps and 5 work products, within 6 months of hire

Head of People Analytics

Analytics Product Manager | AI/ML | Social Entrepreneur | Data Scientist | Mentor | Big 4 | DS4A | Spartan Racer

Teneika Askew is an Analytics Leader with more than 10 years of experience providing analytics, business process improvement and consulting services. She specializes in data analyses around financial, talent and operational data and driving workforce strategies for Fortune 500 companies.

Teneika uses Power BI, Tableau, SQL and Python to create 100% data-driven, innovative insights using organizational data. She also trains colleagues and the communities she serves with open data made available through the DATA Act.

Teneika also has extensive experience with business analysis for commercial, not for profit, and governmental entities. Her strengths are in performing complex analyses to identify and understand processes, gaps and transactions to answer difficult to solve problems.

Awards: Globant US Digital Leader. Women of Color in STEM - Technology All Star Award. Values in Practice. Applaud Awards (3X). Performance and Team Awards (6X). She Rocks the World, Fearless Leader. Diversity & Inclusion Driver Award. Grace Hopper Women of Color in Tech Scholar. People Analytics World Speaker. Society of Women Engineers Speaker. Distinguished Scholar and Honors level in Data Science for All fellowship(s). Top Teaching Assistant.

Certifications: Microsoft Data Analyst, Certified Scrum Master, Tableau Desktop Specialist, AWS Solution Architect. COBIT 5, ITIL, Agile Certified Practitioner and Microsoft Certified Trainer

Fellowships: Data Science for All - Empowerment and Data Science for All - Women's Summit

Recognized as US Digital Leader by Globant in the annual edition of the Globant Awards - Women that Build,  a global recognition that seeks to change the reality of the industry and reduce the gender gap, highlighting professionals who inspire, who build, who lead and help create change. 
http://womenawards.globant.com/3335/Teneika-Askew
This award recognizes innovative women who are leaders in their organizations and who have been impacting change in the IT industry for at least 10 years.

Featured in Business Insider, Tech Crunch and eFinancial.

teneikaaskew.com | @teneikaask_you on Twitter

Group Product Director - Data Science & Analytics Enablement

Cleveland Clinic

•	Coordinate outgoing referrals, answer incoming patient calls/emails/inquiries displaying courtesy, and schedule patients for appointments using Epic EMR in an accurate and timely manner
•	Diligently prepare appointment schedules for physicians and provide direct administrative support to physicians as required
•	Liaise with various clinical departments to coordinate in-house referrals, establish strong relationships with specialists and clinics to expedite patient referrals and create a seamless patient experience
•	Implemented a streamlined tracking system, replacing manual methods, resulting in significantly improved accuracy and ensuring timely annual physicals for all patients

Referral Coordinator

Kensington Eye Institute

•	Involved in the data quality control, data collection, and data analysis for ONDRI's retinal imaging data, ensuring strict adherence to public distribution standards
•	Interacted with research team members, faculty, project managers, health professionals, clinical groups, patients and other stakeholder groups; delivered educational presentations to demonstrate my data quality control methods; and trained site staff on study-specific tasks and procedures
•	Employed advanced R programming skills to develop automated scripts for detecting missing and out-of-range data, perform statistical calculations, and generate data summaries; ensured that quantitative and qualitative data quality were maintained throughout all aspects of data collection, processing, and management
•	Collaborated closely with researchers to address data validation queries, facilitating efficient investigations into anomalous data points and contributing to accurate outlier detection
•	Developed comprehensive data visualizations, including graphs and charts for scientific research papers, enhancing the presentation of key findings and facilitating data-driven insights as well as co-authored abstracts for conferences

Clinical Research Assistant for the ONDRI Project

Mount Sinai Hospital (Toronto), Sinai Health System

•	Led participant recruitment efforts for a critical COVID-19 research study, led site teams for recruitment, and assessed qualifications of participants from potential clinical study sites 
•	Liaised with Key Opinion Leaders (KOLs), investigators, and research staff to provide clinical and scientific data updates on progress; acted as a key point of contact on daily study data issues and edit checks; and collaborated with researchers to write abstracts
•	Performed robust data cleaning, organization, and analysis using Python, uncovering correlations between antibody response and diverse patient characteristics, such as age, gender, comorbidities, and vaccination status
•	Adhered to ICH-GCP, Canadian regulatory requirements, local ethics requirements, SOPs, and Clinical Development Guidelines, Investigator Integrity, and ensured compliance with all study procedures 
•	Managed data integrity, implemented a Microsoft Access-based tracking system for 1,500 participants, and presented Key Performance Indicator metrics to ensure accurate and organized data management 
•	Contributed to the development of general recruitment strategies, such as social media campaigns, reminder emails, outreach, etc.
•	Designed and maintained Microsoft Access and REDCap databases, data collection forms, error-checking methods, and related programs for efficient collection, analysis, reporting, and continuous improvements

Clinical Research Coordinator 

Baycrest Health Sciences

•	Led comprehensive quality control for longitudinal data, spanning diverse assessment platforms, employing R-based anomaly detection for precise outlier identification and enhanced data accuracy
•	Achieved significant milestones, including over 70% completion of data quality control for retinal imaging datasets and platforms, collaborating effectively with research team leads to ensure project success.
•	Applied advanced statistical techniques, including Partial Least Squares Regression, Correspondence Analysis, and PCA, to analyze outlier reports, extracting meaningful insights and contributing to research outcomes.
•	Independently undertook a high-impact project within a tight two-week timeline, developing a classification model in R to enhance diagnostic accuracy for Parkinson's patients, which would be used by clinical psychologists in their practice
•	Ensured that the conduct of clinical studies at sites is in accordance with the protocol and is compliant with Good Clinical Practice regulations, International Harmonization Guidelines, and Standard Operating Procedures (SOPs)

Research Assistant

Baycrest

•	Recruited and screened participants; executed precise neuroimaging testing utilizing magnetoencephalography (MEG) technology, meticulously recording brain wave data from research participants; and performed data organization and pre-processing to eliminate artifacts and noise, thus ensuring optimal data quality 
•	Collaborated effectively to diagnose and rectify complex MEG equipment issues, enhancing data reliability and research continuity
•	Managed daily lab routines, balancing competing priorities, and earned recognition through a nomination for the NSERC research award

Research Student at the MEG Lab

Ontario Shores Centre for Mental Health Sciences

•	Managed and directed three impactful research projects in psychiatric patient care, conducting recruitment and comprehensive semi-structured interviews with psychiatrists, nurses, patients, and other healthcare providers, ensuring adherence to research protocols
•	Utilized Excel and SPSS for qualitative and quantitative data analysis, culminating in meaningful insights for presentations at conferences, showcasing proficiency in data-driven insights
•	Interpreted complex privacy policies, ensuring accurate communication with participants about data storage and privacy safeguards

Research Student

Seasoned Clinical Research Professional with over 3 years of experience in a fast-paced Clinical Research environment. Proven track record of participant recruitment, data collection, data analysis, data protection, data management, qualitative research, research ethics, and patient retention by adhering to principles of good clinical practice (ICH-GCP) and standard operating procedures (SOPs). Excellent communication and interpersonal skills, ability to build effective relationships with research staff accompanied with exceptional project management skills. Motivated leader with strong organizational skills and a proven ability to conceptualize solutions to clinical research challenges. Technically well-versed in MS Office 365, MS Access, Statistical Software (SPSS), Python, R Language, etc.

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Teneika Askew

Pirammiya Shanmugathas

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